The development of artificial intelligence (AI), particularly generative AI, is closely linked to the collection, processing, and large-scale training of data. At times described as “the new oil,” such datasets have yielded significant economic value and power for major tech firms. These companies are not the only ones collecting data from users’ interactions with digital platforms: governments, research institutions, and industries also rely on vast quantities of data to improve their administrative, scientific, or commercial systems and services.

What has changed in recent years is how the availability of “big data” has driven the development of new algorithms now used to train generative AI. Rather than simply predicting patterns or behaviors for decision-making, these systems learn from data to generate ‘new’ content. However, they are ill equipped to distinguish between reliable and questionable information, between fact and mere opinion. With their increasing presence in our homes, workplaces and the public realm, how can we prevent them from blurring the line between information and disinformation?

The third TASTE talk aims to playfully and critically unpack the underlying mechanisms, structures, and risks that these so-called “black boxes” may pose to our democratic societies.

Speakers:

Prof. Georg Mein – head of ULIDE (University of Luxembourg Institute for Digital Ethics)
Lynn Klemmer and Mathieu Buchler – Mnemozine / Six Minutes Past Nine
Julien Prévieux – multidisciplinary artist

Feel free to arrive earlier and visit the current exhibitions at the MUDAM

Interested in joining us? Register though eventbrite.